CN113873210B - Color restoration authenticity precision detection method - Google Patents

Color restoration authenticity precision detection method Download PDF

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CN113873210B
CN113873210B CN202111150279.8A CN202111150279A CN113873210B CN 113873210 B CN113873210 B CN 113873210B CN 202111150279 A CN202111150279 A CN 202111150279A CN 113873210 B CN113873210 B CN 113873210B
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color
photo
card
correction
toned
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CN113873210A (en
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王建辉
吕志才
王斌
王敏
刘闯
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Suzhou Surveying & Mapping Institute Co ltd
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    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N9/00—Details of colour television systems
    • H04N9/64—Circuits for processing colour signals
    • H04N9/646—Circuits for processing colour signals for image enhancement, e.g. vertical detail restoration, cross-colour elimination, contour correction, chrominance trapping filters
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
    • H04N17/00—Diagnosis, testing or measuring for television systems or their details

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  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Signal Processing (AREA)
  • Health & Medical Sciences (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Spectrometry And Color Measurement (AREA)
  • Image Processing (AREA)
  • Facsimile Image Signal Circuits (AREA)

Abstract

The embodiment of the invention discloses a color reproduction authenticity precision detection method, which belongs to the technical field of color reproduction detection and comprises the following steps: s1: shooting a template photo and a photo to be toned; s2: obtaining a standard color card; s3: obtaining L of detection color block in standard color card Theory of ，a Theory of ，b Theory of The method comprises the steps of carrying out a first treatment on the surface of the S4: l for obtaining a photo to be tinted before tinting Measuring ，a Measuring ，b Measuring The method comprises the steps of carrying out a first treatment on the surface of the S5: l for obtaining a photo to be tinted after tinting Correction ，a Correction ，b Correction The method comprises the steps of carrying out a first treatment on the surface of the S6: calculating color difference values before and after color matching of a to-be-matched photo detection color block; s7: and calculating the color reduction degree of the photo to be tinted before and after the detection of the color lump tinting. The color difference value and the color reduction degree of the color-to-be-mixed photo after being reduced by the standard color card can be accurately and intuitively seen, the color difference value and the color reduction degree of the color-to-be-mixed photo after being reduced by the standard color card are improved, and the color of the color-to-be-mixed photo after being reduced by the standard color card is more close to a true value.

Description

Color restoration authenticity precision detection method
Technical Field
The embodiment of the invention relates to the technical field of color reproduction detection, in particular to a color reproduction authenticity precision detection method.
Background
For the purple fomentation clay sculpture Luo Hanlai, the color is very important attribute information, and the color restoration link is also very important in the data acquisition work. In the precise three-dimensional digital construction project of the purple gold fomentation, the clay sculpture colored drawing and the Momordica grosvenori, the Buddha's image texture photo is collected through the matching of a camera and a lens, and the color restoration of the image is realized by a plurality of procedures such as shooting, storing, processing and the like by means of the camera and a color card. The research emphasis is positioned on the surface style of the color-painted momordica grosvenori, namely, the true and complete restoration of the texture colors is ensured.
The means for color reproduction by means of the color card mainly comprises white balance correction and image color difference correction, so that the influence of color temperature and color cast on color reproduction is effectively reduced. And the authenticity and accuracy of the color card restored photo need to be verified through accuracy detection.
Therefore, how to provide a novel color reproduction detection method, so that the authenticity and accuracy of the color card reproduction photo can be accurately and intuitively seen, is a technical problem to be solved by the person skilled in the art.
Disclosure of Invention
Therefore, the embodiment of the invention provides a color reproduction authenticity precision detection method, which aims to solve the problem that the authenticity of texture color reproduction cannot be ensured due to the fact that the detection method for the color reproduction degree is not available in the prior art.
In order to achieve the above object, the embodiment of the present invention provides the following technical solutions:
a color reproduction authenticity precision detection method comprises the following steps:
s1: placing a shot object and a color card together, shooting a template photo and a photo to be toned at the same angle, and guiding the template photo and the photo to be toned into a toning system;
s2: cutting the color card in the template photo, reserving the complete color card, and performing color correction on the color card by using a color matching system to obtain a standard color card;
s3: taking a plurality of color blocks in a standard color card as detection color blocks, acquiring theoretical RGB values of the detection color blocks, and converting the theoretical RGB values into an Lxabcolor space model according to a conversion formula to obtain corresponding L Theory of ，a Theory of ，b Theory of ；
S4: before the color matching treatment, RGB values of detection color blocks corresponding to color cards in a photo to be color-matched are obtained, and are converted into an Labcolor space model according to a conversion formula, so that corresponding L is obtained Measuring ，a Measuring ，b Measuring ；
S5: after carrying out color matching treatment on a to-be-toned photo by using a standard color card as a template, obtaining RGB values of detection color blocks corresponding to the color card in the to-be-toned photo, and converting the RGB values into an Labcolor space model according to a conversion formula to obtain corresponding L Correction ，a Correction ，b Correction Which converts the male patternThe formula is:
the conversion formula of X, Y, Z is as follows:
wherein the equation of f (X/Xn), f (Y/Yn), f (Z/Zn) is as follows:
wherein X, Y, Z is the tristimulus value of the color sample, is the tristimulus value of the CIE standard illuminant, L is the psychometric lightness, and a and b are the psychometric chromaticity;
s6: calculating a color difference value delta E before detecting color lump in a photo to be tinted Measuring And color difference value delta E after color matching Correction Wherein the color difference delta E of the photo to be tinted before tinting Measuring The formula is:
color difference delta E of the toned photo to be toned Correction The formula is:
wherein L is psychometric lightness, and a and b are psychometric chromaticity;
s7: calculating the reduction degree eta of a single color before the detection color lump in the photo to be tinted is tinted i And the average degree of color reductionSingle colour after colour mixingDegree of reduction eta of (2) i ' and color mean reduction degree->Wherein the degree of reduction η of the single colour before toning i The formula is:
average degree of color reduction before toningThe formula is:
the degree of reduction eta of the single color after color matching i The' formula is:
average degree of color reduction after toningThe formula is:
where δ is the angular threshold, Δh, in the color space model of L x a x b Measuring For the hue difference of a single color before toning, Δh Correction Is the tone difference of the single color after color mixing;
further, before the step S7, the method further includes the following step S601:
calculating the hue difference delta h of a single color before the detection color block in the photo to be tinted is tinted Measuring Hue difference deltah of single color after color matching Correction Wherein the hue difference deltah of the photo to be toned before toning Measuring The method comprises the following steps:
hue difference delta h of toned photo Correction The method comprises the following steps:
wherein C is chroma, which can be expressed by the distance from the point to the ordinate axis;
further, the angular threshold δ in the l×a×b×color space model is 90 °.
Further, the color card is a Spyder Checkr 48 color card.
Further, the RGB values of the detected color patches in the color card are obtained in Photoshop software with a color sampler tool.
Further, in the step S1, the color chart is located at the center of the lens.
Further, the format of the template photograph and the photograph to be toned in the step S1 is a Raw format.
The embodiment of the invention has the following advantages:
the method comprises the steps of carrying out color matching treatment on a photo to be toned through a standard color card in the template photo by utilizing the photo to be toned and the template photo, and calculating a color difference value delta E before the photo to be toned is toned Measuring And the average degree of color reductionAnd color difference value delta E after color matching Correction And color average reduction degree->The color difference value and the color restoration degree before and after color matching are compared, and the photo to be color-matched after being restored by the standard color card can be accurately and intuitively seenThe degree is improved, and the color of the photo to be tinted after the standard color card is restored is more close to the true value.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings used in the description of the embodiments or the prior art will be briefly described below. It will be apparent to those of ordinary skill in the art that the drawings in the following description are exemplary only and that other implementations can be obtained from the extensions of the drawings provided without inventive effort.
The structures, proportions, sizes, etc. shown in the present specification are shown only for the purposes of illustration and description, and are not intended to limit the scope of the invention, which is defined by the claims, so that any structural modifications, changes in proportions, or adjustments of sizes, which do not affect the efficacy or the achievement of the present invention, should fall within the ambit of the technical disclosure.
FIG. 1 is a block diagram of the operational flow of the present invention;
fig. 2 is a schematic diagram of an l×a×b color space model;
Detailed Description
Other advantages and advantages of the present invention will become apparent to those skilled in the art from the following detailed description, which, by way of illustration, is to be read in connection with certain specific embodiments, but not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the invention without making any inventive effort, are intended to be within the scope of the invention.
In order to solve the related technical problems in the prior art, the embodiment of the application provides a color restoration authenticity precision detection method, which aims to solve the problems that the authenticity of texture color restoration cannot be guaranteed in the prior art and the like, and realize the effect of accurately and intuitively seeing the authenticity and accuracy of a color card restored photo. 1-2, specifically comprising the following steps:
s1: placing a shot object and a color card together, shooting a template photo and a photo to be color-mixed at the same angle, and importing the template photo and the photo to be color-mixed into software;
and the color card is arranged in the center of the lens during shooting, so that the color accuracy of the color card is prevented from being influenced by shadow, exposure or other reflected light. One of the template photos is taken at the same angle, and the other is the photo to be tinted. And taking a plurality of groups of pictures at different angles, and detecting the restoration degree of the authenticity of the pictures at different angles. The template photo and the photo to be toned are in a Raw format, raw is an unprocessed or uncompressed format, and real data in the photo is not changed, so that an operator can conveniently and randomly adjust the original photo. The color card is a Spyder Checkr 48 color card, and the Spyder Checkr 48 color card contains 48 color blocks of red, green, blue, cyan, purple and the like. The color card can correct white balance and exposure by correcting color on one side and gray card on the other side.
S2: cutting the color card in the template photo, reserving the complete color card, and performing color correction on the color card by using software to obtain a standard color card;
the electronic color chart generally provides a color picture which can only be referred to, and the standard color matching is based on the physical standard paper color chart because the colors are displayed on different displays and the colors are different.
S3: the detection patches are a plurality of patches in a standard color chart, and 24 patches of black, white, red, green, blue, cyan, yellow, magenta, and the like are selected as the detection patches. And obtaining theoretical RGB value of the detection color block, and converting the theoretical RGB value into an Lxa.bcolor space model according to a conversion formula to obtain corresponding L Theory of ，a Theory of ，b Theory of ；
S4: before the color matching treatment, RGB values of detection color blocks corresponding to color cards in a photo to be color-matched are obtained, and are converted into an Labcolor space model according to a conversion formula, so that corresponding L is obtained Measuring ，a Measuring ，b Measuring ；
S5: after carrying out color matching treatment on a to-be-toned photo by using a standard color card as a template, obtaining RGB values of detection color blocks corresponding to the color card in the to-be-toned photo, and converting the RGB values into an Labcolor space model according to a conversion formula to obtain corresponding L Correction ，a Correction ，b Correction The conversion formula is as follows:
the conversion formula of X, Y, Z is as follows:
wherein the equation of f (X/Xn), f (Y/Yn), f (Z/Zn) is as follows:
wherein X, Y, Z is the tristimulus value of the color sample, is the tristimulus value of the CIE standard illuminant, L is the psychometric lightness, and a and b are the psychometric chromaticity;
in steps S3, S4, S5, RGB values of 24 detected color patches in the template photograph, the photograph to be toned before toning, and the photograph to be toned after toning are acquired by a color sampler tool of Photoshop software.
The RGB model is the most basic and most commonly used color space model that depends on devices in image processing, primary colors use three colors of red, green and blue, and a composite color can be generated by mixing three primary colors, and other color spaces used in image processing are generally converted from the RGB color space. The main disadvantage of the RGB color space is that it is not intuitive, and it is difficult to know from the RGB values the cognitive attributes of the colors represented by the values; second, the RGB color space is one of the most non-uniform color spaces, and the perceptual difference between two colors cannot be expressed as the distance between two color points in that color space.
To accurately calculate the color difference and the degree of color reproduction, it is necessary to convert the representation of the color into a uniform color space model. The application adopts CIE1976L a b uniform color space model as a reference system for calculating color difference, and calculates the color difference between 24 color blocks to be detected and the true value in the photos before and after color reduction.
As a uniform color space, L x a x b x improves RGB color space defects, and color information collected by human vision can be more effectively described. The RGB color space is converted to the l×a×b color space, and the RGB color space is first converted to the XYZ color space, and then the XYZ color space is converted to the l×a×b color space.
The CIE1976L a b uniform color space is a cylindrical polar coordinate obtained by non-linearly transforming XYZ rectangular coordinates of the CIE1931 system, as shown in fig. 2. Wherein L represents subjective luminance, and a and b represent chromaticity. The larger L, the brighter the color; positive direction of a represents change in red, and negative direction of a represents change in green; the positive direction of the b axis indicates a change in yellow, and the negative direction of the b axis indicates a change in blue. This is also a source of the opposite color space model.
S6: calculating a color difference value delta E before detecting color lump in a photo to be tinted Measuring And color difference value delta E after color matching Correction Wherein the color difference delta E of the photo to be tinted before tinting Measuring The formula is:
color difference delta E of the toned photo to be toned Correction The formula is:
wherein L is psychometric lightness, and a and b are psychometric chromaticity;
s7: calculating the reduction degree eta of a single color before the detection color lump in the photo to be tinted is tinted i And the average degree of color reductionDegree of reduction η of single color after toning i ' and color mean reduction degree->Wherein the degree of reduction η of the single colour before toning i The formula is:
average degree of color reduction before toningThe formula is:
the degree of reduction eta of the single color after color matching i The' formula is:
average degree of color reduction after toningThe formula is:
where δ is the angular threshold in the L x a x b x color space model and the angular threshold δ in the L x a x b x color space model is 90 °. Δh Measuring For the hue difference of a single color before toning, Δh Correction Is the tone difference of the single color after color mixing;
further, before step S7, the method further includes the following step S601:
calculating the hue difference delta h of a single color before the detection color block in the photo to be tinted is tinted Measuring Hue difference deltah of single color after color matching Correction Wherein the hue difference deltah of the photo to be toned before toning Measuring The method comprises the following steps:
hue difference delta h of toned photo Correction The method comprises the following steps:
wherein C is chroma, which can be expressed by the distance from the point to the ordinate axis;
color sampler tools in Photoshop software are used for respectively extracting color values of the center positions of 24 color patches of a color card on a photo to be tinted before tinting and after tinting. And converting the RGB values to an L x a x b x color space. The conversion results are shown in Table 1. And then calculating the color difference value and the color reduction degree of the photo to be tinted before tinting and the photo to be tinted after tinting respectively under the L x a x b x space model. The calculation results of the color difference values are shown in Table 2 and the calculation results of the color reduction degree are shown in Table 3.
TABLE 1 color space model conversion results
TABLE 2 color difference contrast before and after toning
TABLE 3 contrast of hue reduction before and after toning
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The error in the photo color difference before the color matching is calculated as + -29.9 NBS, and the error in the photo color difference after the color matching is calculated as + -24.4 NBS. The average degree of color reduction (hue) before the toning was 73%, and the average degree of color reduction (hue) after the toning was 77%. After the color card is used, the error precision in color difference is improved by 18.3%, the color reduction degree is improved by 4%, and the color is more approximate to a true value.
The application process of the embodiment of the invention is as follows:
color sampler tools in Photoshop software were used to extract color values at the center of 24 color patches on the photo before and after toning, respectively. And converting the RGB values to an L x a x b x color space. And then calculating the color difference value and the color reduction degree of the photo before color matching and the photo after color matching respectively under the L x a x b x space model. The values before and after color matching are compared, the photo to be color matched restored by the standard color card is accurately and intuitively seen, the color difference value and the color restoration degree are improved, and the color of the photo to be color matched restored by the standard color card is more close to the true value.
While the invention has been described in detail in the foregoing general description and specific examples, it will be apparent to those skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.

Claims (7)

1. The color reproduction authenticity precision detection method is characterized by comprising the following steps of:
s1: placing a shot object and a color card together, shooting a template photo and a photo to be toned at the same angle, and guiding the template photo and the photo to be toned into a toning system;
s2: cutting the color card in the template photo, reserving the complete color card, and performing color correction on the color card by using a color matching system to obtain a standard color card;
s3: taking a plurality of color blocks in a standard color card as detection color blocks, acquiring theoretical RGB values of the detection color blocks, and converting the theoretical RGB values into an Lxabcolor space model according to a conversion formula to obtain corresponding L Theory of ，a Theory of ，b Theory of ；
S4: before the color matching treatment, RGB values of detection color blocks corresponding to color cards in a photo to be color-matched are obtained, and are converted into an Labcolor space model according to a conversion formula, so that corresponding L is obtained Measuring ，a Measuring ，b Measuring ；
S5: after carrying out color matching treatment on a to-be-toned photo by using a standard color card as a template, obtaining RGB values of detection color blocks corresponding to the color card in the to-be-toned photo, and converting the RGB values into an Labcolor space model according to a conversion formula to obtain corresponding L Correction ，a Correction ，b Correction The conversion formula is as follows:
the conversion formula of X, Y, Z is as follows:
wherein the equation of f (X/Xn), f (Y/Yn), f (Z/Zn) is as follows:
wherein X, Y, Z is the tristimulus value of the color sample, is the tristimulus value of the CIE standard illuminant, L is the psychometric lightness, and a and b are the psychometric chromaticity;
s6: calculating a color difference value delta E before detecting color lump in a photo to be tinted Measuring And color difference value delta E after color matching Correction Wherein the color difference delta E of the photo to be tinted before tinting Measuring The formula is:
color difference delta E of the toned photo to be toned Correction The formula is:
wherein L is psychometric lightness, and a and b are psychometric chromaticity;
s7: calculating the reduction degree eta of a single color before the detection color lump in the photo to be tinted is tinted i And the average degree of color reductionDegree of reduction η of single color after toning i ' and color mean reduction degree->Wherein before the color mixingThe degree of reduction eta of the individual colors of (2) i The formula is:
average degree of color reduction before toningThe formula is:
the degree of reduction eta of the single color after color matching i The' formula is:
average degree of color reduction after toningThe formula is:
where δ is the angular threshold, Δh, in the color space model of L x a x b Measuring For the hue difference of a single color before toning, Δh Correction Is the hue difference of the single color after the color mixing.
2. The color reproduction accuracy detection method according to claim 1, further comprising the step S601 of, before the step S7:
calculating the hue difference delta h of a single color before the detection color block in the photo to be tinted is tinted Measuring Hue difference deltah of single color after color matching Correction Wherein the hue difference deltah of the photo to be toned before toning Measuring The method comprises the following steps:
hue difference delta h of toned photo Correction The method comprises the following steps:
where C is chroma, which can be expressed in terms of the distance from the point to the ordinate axis.
3. The color reproduction accuracy detection method according to claim 2, wherein the angle threshold δ in the color space model is 90 °.
4. The color reproduction accuracy detection method according to claim 1, wherein the color chart is a Spyder Checkr 48 color chart.
5. The color reproduction accuracy detection method according to claim 1, wherein the RGB values of the detected color patches in the color chart are acquired in Photoshop software with a color sampler tool.
6. The method for detecting color reproduction authenticity according to claim 1, wherein the color chart is positioned at the center of the lens in the step S1.
7. The method for detecting color reproduction accuracy according to claim 1, wherein the format of the template photograph and the photograph to be toned in the step S1 is a Raw format.
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JP2014192859A (en) * 2013-03-28 2014-10-06 Kanazawa Univ Color correction method, program, and device
CN108668122A (en) * 2017-03-31 2018-10-16 宁波舜宇光电信息有限公司 Color rendition method and equipment for spectral response curve
CN111562010A (en) * 2020-05-14 2020-08-21 北京大学 Method and device for automatic image color calibration

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101207832A (en) * 2006-12-19 2008-06-25 Tcl数码科技（深圳）有限责任公司 Method for checking digital camera color reduction
JP2014192859A (en) * 2013-03-28 2014-10-06 Kanazawa Univ Color correction method, program, and device
CN108668122A (en) * 2017-03-31 2018-10-16 宁波舜宇光电信息有限公司 Color rendition method and equipment for spectral response curve
CN111562010A (en) * 2020-05-14 2020-08-21 北京大学 Method and device for automatic image color calibration

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